ECW 2015 - Extreme Classification workshop

Extreme Classification workshop, July 10th 2015, in conjunction with the International Machine Learning Conference (ICML 2015) in Lille, France.
Workshop website: https://sites.google.com/site/extremeclassificatio...
Submission site: https://easychair.org/conferences/?conf=icmlx2015
Submission deadline: EXTENDED TO MAY 10th
Overview:
Extreme Classification (i.e. multi-class or multi-label classification in the presence of an enormous number of labels) has recently attracted increased attention in the machine learning community and beyond (computer vision, NLP, bioinformatics). Indeed, several applications such as recommendation, ranking, etc. can be reduced to extreme classification problems. This new perspective allows to leverage the recent advances achieved in reducing prediction time and making learning feasible in extreme classification problems. However, the issues posed by extreme classification go beyond computational complexity. In particular it is one of the rare situations where data scarcity remains a question despite the vastness of available data. Also, the statistical dependence/correlation of the labels poses challenges and opportunities for learning approaches. All the properties of extreme classification problems (e.g. data and feature distribution) and their specificities across different fields are still not well understood. Moreover, questions related to valid evaluation measures in this setting have rarely been discussed despite being widely considered as critical. In particular, we are interested in questions related to:
Sublinear Time Prediction
Efficient Crowdsourcing of Training data
Learning with noisy, highly imbalanced data and rare labels
Discriminative Representation learning for Extreme classification
Exploiting unlabeled data and label dependence/correlation
Efficient Training Strategies
Extreme Classification on distributed architectures and GPUs
Fined Grained Classification
Extensible Output Space Classification (Zeroshot and One-shot learning)
Statistical analysis and generalization bounds
Performance evaluation
Invited Speakers:
The Extreme Classification workshop has 4 confirmed invited speakers
John Langford, Microsoft Research
Jason Weston, Facebook AI Research
Jia Deng, University of Michigan
Manik Varma, Microsoft Research
More speakers will be added upon confirmation
Organizers
Moustapha Cissé (KAUST)
Samy Bengio (Google)
Patrick Gallinari (LIP6/UPMC)
Paul Mineiro (Microsoft)
Nicolas Usunier (Facebook)
Jia Yuan Yu (IBM)
Xiangliang Zhang (KAUST)
Important Dates
Submission deadline: May 10, 2015
Acceptance notification: May 23, 2015
Camera ready: June 20, 2015
Workshop date: July 10, 2015
Submission
We welcome submissions on novel research as well as extended abstracts on relevant work recently published in venues of related fields (computer vision, computational biology) or in journals. In case of previously published work, the original paper should be clearly cited. We also welcome promising work-in-progress contributions and position papers. All accepted papers will be presented as posters, and some will be selected for oral presentation.
Submissions should follow the ICML format and are encouraged to be between four and eight pages long. Reviewing will be single-blind (submissions need not be anonymous). Accepted papers will be posted online, but there will be no proceedings. Please submit papers in PDF format here submission site. For any question, send emails to extreme.classification-AT-lip6.fr